book chapter · Genetic and evolutionary computation · 2023

Evolutionary Approaches to Explainable Machine Learning

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Abstract

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Cite this paper

Zhou, R., & Hu, T. (2023). Evolutionary Approaches to Explainable Machine Learning. Genetic and evolutionary computation, 487–506. https://doi.org/10.1007/978-981-99-3814-8_16

MLA 9

Zhou, Ryan, and Ting Hu. “Evolutionary Approaches to Explainable Machine Learning.” Genetic and evolutionary computation, 2023, pp. 487–506, https://doi.org/10.1007/978-981-99-3814-8_16.

Chicago

Zhou, Ryan, and Ting Hu. 2023. “Evolutionary Approaches to Explainable Machine Learning.” Genetic and evolutionary computation: 487–506. https://doi.org/10.1007/978-981-99-3814-8_16.

Harvard

Zhou, R. and Hu, T. (2023) ‘Evolutionary Approaches to Explainable Machine Learning’, Genetic and evolutionary computation, pp. 487–506. Available at: https://doi.org/10.1007/978-981-99-3814-8_16.

BibTeX

@incollection{zhou2023evolutionary,
  title = {{Evolutionary Approaches to Explainable Machine Learning}},
  author = {Zhou, Ryan and Hu, Ting},
  booktitle = {Genetic and evolutionary computation},
  pages = {487--506},
  year = {2023},
  doi = {10.1007/978-981-99-3814-8_16}
}

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